Partner Ecosystem
Owner: Partner Team / Adoption Architect
Partnership Strategy Overview
Five partnership categories are critical to scaling Apps adoption:
flowchart LR
subgraph Partners["APPS PARTNERSHIP ECOSYSTEM"]
FE["INTERNAL<br/>FE Teams"]
ISV["ISVs<br/>IDE + AI"]
SI["System<br/>Integrators"]
IL["GTM Industry<br/>Leads"]
PS["Professional<br/>Services"]
end
FE --> Signal["Signal Capture"]
ISV --> DevExp["Developer Experience"]
SI --> Delivery["Solution Delivery"]
IL --> Vertical["Vertical Alignment"]
PS --> Deep["Deep Implementation"]
Partner Type 1: Internal FE Teams
Role
Field Engineering teams (especially EPLs) serve as the front line for:
- Signal capture from customer conversations
- Pattern identification across accounts
- Early warning on adoption blockers
- Feedback loop to Product and Adoption Architect
Current State
| Dimension |
Status |
| Data/ML expertise |
✅ Strong |
| App development expertise |
❌ Gap |
| Signal capture process |
❓ Unknown |
| Feedback mechanisms |
❓ Unknown |
Actions Needed
| Action |
Purpose |
Priority |
| Enable FEs on app patterns |
Close expertise gap |
High |
| Create signal capture process |
Systematic friction identification |
High |
| Establish feedback cadence |
Regular input to playbooks |
Medium |
| Identify Apps champions in FE |
Build internal advocates |
Medium |
Partner Type 2: ISVs (Independent Software Vendors)
Strategic Goal
Win developer mindshare by making Databricks the preferred platform for data-intensive application development.
IDE Experiences (Critical for Quantity Motion)
| Partner |
Opportunity |
| Cursor |
AI-assisted Databricks development |
| Windsurf |
Modern IDE with Databricks integration |
| Vercel |
Frontend deployment + Databricks backend |
| Replit |
Rapid prototyping, platform integration |
Strategic Play: Coding agents should easily integrate with Databricks and understand its services → Create an opinionated, data-oriented IDE experience.
Link to Quantity Motion:
- IDE experience is critical for Digital Native customers
- Developer mindshare governs adoption in tech-forward accounts
- Many lightweight apps require frictionless creation experience
AI/ML ISVs
| Partner Type |
Opportunity |
| Vector DB providers |
Integrate with Lakebase |
| LLM frameworks |
LangChain, LlamaIndex integrations |
| Agent platforms |
Native Databricks agent building |
Actions Needed
| Action |
Purpose |
Priority |
| Identify target IDE partners |
Developer experience focus |
High |
| Create Databricks SDK for IDEs |
Enable seamless development |
High |
| Develop partner certification |
Quality control for Apps |
Medium |
Partner Type 3: System Integrators (SIs)
Strategic Goal
Partner with SIs who lead with an App-first GTM motion to scale solution delivery.
Ideal SI Partner Profile
| Dimension |
Criteria |
| GTM Motion |
Leads with applications, not infrastructure |
| Industry Focus |
Deep vertical expertise |
| Databricks Expertise |
Existing partnership or willingness to invest |
| Delivery Model |
Can build and operationalize Apps |
Competitive Dynamic: Palantir’s FDE Motion
Palantir’s Advantage:
- Deploys engineers directly with customers
- Creates deep, solution-oriented relationships
- Expensive but effective for land-and-expand
Counter-Strategy via SI Partners:
- SIs can provide FDE-like engagement
- More scalable than internal FDE build-out
- Leverage SI industry expertise
- Lower cost than Palantir’s model
ISV + SI Complementary Model
ISVs and SIs scale adoption differently but work together as a complementary motion:
flowchart LR
subgraph Build["PHASE: BUILD"]
ISV["ISV (e.g., Replit)<br/>• Dev speed<br/>• Platform integration<br/>• Rapid prototyping"]
end
subgraph Deploy["PHASE: DEPLOY/OPERATE"]
SI["SI<br/>• Delivery<br/>• Infrastructure<br/>• Prod readiness"]
end
ISV --> |"Handoff"| SI
Build --> Quantity["Quantity Motion"]
Deploy --> Quality["Quality Motion"]
Actions Needed
| Action |
Purpose |
Priority |
| Identify App-first SIs |
Find partners with right GTM motion |
High |
| Create SI enablement program |
Train on Apps architecture |
High |
| Develop joint solution accelerators |
Speed time-to-value |
Medium |
| Establish co-sell motions |
Align incentives |
Medium |
Partner Type 4: GTM Industry Leads
Strategic Goal
Align with GTM Industry Leads to identify key Apps use cases by vertical and drive industry-specific adoption momentum.
Why Industry Leads Matter
- FE doesn’t see Apps opportunities without vertical context
- Use cases vary significantly by industry
- Industry leads control event presence, EBC content, field priorities
- Execs need industry-relevant “I want that!” moments
Industry Lead Alignment Matrix
| Industry |
Lead |
Use Cases by Archetype |
App First Demo |
Status |
| Retail |
TBD |
Cockpit: Inventory visibility, Vertical: Demand sensing |
[Link: TBD] |
Not aligned |
| FSI |
TBD |
Cockpit: Risk dashboard, Vertical: Fraud detection |
[Link: TBD] |
Not aligned |
| HLS |
TBD |
Cockpit: Clinical ops, Vertical: Trial optimization |
[Link: TBD] |
Not aligned |
| MFG |
TBD |
Cockpit: Supply chain, Vertical: Quality prediction |
[Link: TBD] |
Not aligned |
| DN |
TBD |
Horizontal: Platform tools, AI apps |
[Link: TBD] |
Not aligned |
Industry Lead Responsibilities
| Responsibility |
Description |
Deliverable |
| Use Case Definition |
Identify key Apps use cases by archetype for their vertical |
Use case catalog |
| App First Demos |
Encourage and sponsor creation of industry-specific demos |
Demo links |
| Event Presence |
Ensure Apps demos at industry events (NRF, HIMSS, etc.) |
Event calendar |
| EBC Coverage |
Include Apps positioning in strategic customer EBCs |
EBC agenda |
| Internal Hackathons |
Champion exec-sponsored “Month of Apps” initiatives |
Hackathon outcomes |
Actions Needed
| Action |
Purpose |
Priority |
| Align with 5 industry leads on Apps use cases |
Define vertical-specific opportunities |
High |
| Create App First Demo repository |
Centralize demo assets by industry |
High |
| Document “Month of Apps” playbook |
Enable replication across verticals |
High |
| Establish EBC Apps coverage standard |
Ensure exec visibility |
Medium |
Partner Type 5: Professional Services (Internal)
Strategic Goal
Engage Professional Services to enable deep implementations for business outcome-oriented customers (Quality motion).
Why PS Matters for Apps
| Dimension |
Without PS |
With PS |
| Implementation Depth |
Shallow, often abandoned |
Deep, production-grade |
| Business Value |
Unclear, technical focus |
Tied to outcomes |
| Retention |
Low |
High |
| Stickiness |
Low |
High |
When to Engage PS
| Customer Profile |
Engage PS? |
Why |
| Business outcome-oriented |
✅ Yes |
Need depth to prove value |
| Enterprise, Regulated (FSI, HLS) |
✅ Yes |
Compliance requires depth |
| Few developers, business sponsor |
✅ Yes |
Need hands-on support |
| Strategic lighthouse account |
✅ Yes |
Win must be bulletproof |
| Digital Native, many developers |
❌ No |
Self-serve, dev experience focus |
PS Engagement Model
| Phase |
PS Role |
Deliverable |
| Discovery |
Business value workshop |
Use case prioritization |
| Design |
Architecture review |
Reference architecture |
| Build |
Hands-on implementation |
Production app |
| Launch |
Go-live support |
Operational readiness |
| Optimize |
Performance tuning |
Retention checkpoint |
Actions Needed
| Action |
Purpose |
Priority |
| Align with PS leadership on Apps capacity |
Ensure PS availability for Quality motion |
High |
| Create PS enablement on Apps patterns |
Build PS capability |
High |
| Define PS engagement criteria for Apps |
Clarify when to engage PS |
Medium |
| Track PS engagement → retention correlation |
Validate hypothesis |
Medium |
Partnership Prioritization Matrix
| Partner Type |
3-Month Focus |
6-Month Focus |
12-Month Focus |
| FE Teams |
Signal capture process |
Enablement at scale |
Apps champions network |
| ISVs |
IDE partnership exploration |
SDK development |
Ecosystem showcase |
| SIs |
Identify 2-3 strategic partners |
Joint enablement |
Co-sell at scale |
| Industry Leads |
Align on use cases |
Launch hackathons |
Full vertical coverage |
| Professional Services |
PS alignment, lighthouse |
PS capacity planning |
PS-lite model for scale |
Partnership Success Metrics
| Metric |
Definition |
Target |
| FE Apps Conversations |
# of Apps-related customer conversations |
TBD |
| ISV Integrations |
# of IDE/tool integrations live |
TBD |
| SI-Sourced Pipeline |
Pipeline from SI-led opportunities |
TBD |
| SI-Delivered Apps |
# of production Apps built by SIs |
TBD |
| Developer Adoption |
# of developers building on Databricks Apps |
TBD |
Last Updated: January 2026